PredictHQ

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19
Event categories
1000s
Machine Learning Algorithms
+450
Data Sources
1
API
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PredictHQ Data Products: APIs & Datasets

Explore PredictHQ’s datasets, databases, and data feeds.
Free sample dataset of attended, non-attended, and unscheduled events around your preferred location. These categories play a crucial rol...
10.7K records
249 countries covered
6 months of historical data
Free sample dataset containing attendance-based event data for a 1-year historical period for the Munich, Germany area. Events included a...
4K records
109 countries covered
12 months of historical data
Free sample dataset containing Live TV viewership data for a 1 month period for the state of California. Includes county-level broadcast ...
16.5K records
USA covered
1 months of historical data
Free sample dataset containing Live TV viewership data for a 1 month period for the state of California. Includes county-level broadcast ...
32 records
USA covered
1 months of historical data
Free sample dataset containing non-attended event data for a 1-year historical period for the Seattle, Washington area. Includes events i...
700 records
106 countries covered
12 months of historical data
Free sample dataset containing unscheduled event data for a 30-day historical period for the state of Texas. Includes severe weather, nat...
1.7K records
108 countries covered
1 months of historical data

PredictHQ Pricing & Cost

Learn about PredictHQ’s prices, subscription cost, and API pricing.

Pricing plans are based on your business need. We factor our pricing on number of locations, Event categories, and time horizon. Contact us today and together, we can kick off conversations around the best subscription plan for you.

The supported pricing models for PredictHQ’s data are available by getting in contact with them via Datarade. PredictHQ offers free samples for individual data requirements. Get talking to a member of the PredictHQ team to receive custom pricing options, information about data subscription fees, and quotes for PredictHQ’s data offering tailored to your use case.

PredictHQ Reviews

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About PredictHQ

Learn more about PredictHQ’s data sources, use cases, and integrations.

PredictHQ in a Nutshell

PredictHQ provides the missing context for the biggest external factor that impacts businesses demand – events. PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more. PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way. We meet customers exactly where they are, ensuring they can access our data the way that suits them best.

Customers are using our API for:

  • Optimizing pricing strategies
  • Unlocking new demand forecasting opportunities
  • Identifying and adapting to predicted demand spikes
  • Planning and mitigating for disruption
  • Using it to create derivative works
Headquarters
USA

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Use Cases

Events drive demand. More than $1.1 trillion per year worth of demand each year in fact. Discover which event categories impact your demand, so you can turn demand anomalies into competitive advantage. Combine your historical data with PredictHQ’s seven years of forecast-grade event data and then use our API in forecasting to reduce costly errors.

  • Labor Optimization
    Having the right amount of staff on hand drives profits, but no company can afford regular overstaffing. Calibrate your strategies to event-driven demand to reduce labor costs and drive up profitability.

  • Inventory Management
    Maintaining lean supply chains and appropriate inventory levels drives cost savings and maximizes sales. Understanding how events impact demand will help you do both better.

  • Dynamic Pricing
    Know your upcoming demand fluctuations so your models or team can adjust prices earlier to maximize revenue. Improve your dynamic pricing models with PredictHQ’s intelligent event data.

  • Improving Site Selection
    Site selection has become significantly more complex with changes in consumer behavior, an increase in commercial rent costs and more. Event data is an important input that helps companies understand local demand profiles for each of the cities they currently operate in– and research where they want to place their next set of stores.

Data Sources & Collection

We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. Additionally, our data scientists have built more than 1000 machine learning models to aggregate, standardize, verify and rank event data from hundreds of disparate sources.

Key Differentiators

We’ve spent years building a unique, powerful data processing pipeline so you can access trustworthy, intelligent event data easily. Skip the costly, error-prone mess of manually finding event data.

Data Privacy

If you have any questions about this Privacy Policy or our privacy practices, or if you would like to request access to, or correction of, your personal information, you can contact us here: support@predicthq.com

CCPA compliant
GDPR compliant

Integrations

Logo of AWS Data Exchange integration
Logo of Databricks Marketplace integration
Logo of Snowflake Data Marketplace integration

What are you looking for?

Frequently asked questions about PredictHQ

What does PredictHQ do?

PredictHQ is the world’s first and only source of dynamic, reliable and contextual event data to enable businesses to make informed decisions that increase revenue and reduce costs.

How much does PredictHQ cost?

The supported pricing models for PredictHQ’s data are available by getting in contact with them via Datarade. PredictHQ offers free samples for individual data requirements. Get talking to a member of the PredictHQ team to receive custom pricing options, information about data subscription fees, and quotes for PredictHQ’s data offering tailored to your use case.

What kind of data does PredictHQ have?

Location Data, TV Viewership Data, Traffic Data, Consumer Behavior Data, and 24 others

What data does PredictHQ offer?

Events vary in impact, so your event data source needs to be verified and enriched. Go beyond date, time and title to eliminate guesswork and enable accurate forecasts for every location you operate in with features such as predicted attendance.

How does PredictHQ collect data?

We use more than 450 data sources to collect event data, including public records, social media, and ticketing websites. Additionally, our data scientists have built more than 1000 machine learning models to aggregate, standardize, verify and rank event data from hundreds of disparate sources.

What’s PredictHQ’s data privacy policy?

If you have any questions about this Privacy Policy or our privacy practices, or if you would like to request access to, or correction of, your personal information, you can contact us here: support@predicthq.com

What are the best use cases for PredictHQ’s data?

Events drive demand. More than $1.1 trillion per year worth of demand each year in fact. Discover which event categories impact your demand, so you can turn demand anomalies into competitive advantage. Combine your historical data with PredictHQ’s seven years of forecast-grade event data and then use our API in forecasting to reduce costly errors. Labor Optimization Having the right amount of staff on hand drives profits, but no company can afford regular overstaffing. Calibrate your strategies to event-driven demand to reduce labor costs and drive up profitability. Inventory Management Maintaining lean supply chains and appropriate inventory levels drives cost savings and maximizes sales. Understanding how events impact demand will help you do both better. Dynamic Pricing Know your upcoming demand fluctuations so your models or team can adjust prices earlier to maximize revenue. Improve your dynamic pricing models with PredictHQ’s intelligent event data. Improving Site Selection Site selection has become significantly more complex with changes in consumer behavior, an increase in commercial rent costs and more. Event data is an important input that helps companies understand local demand profiles for each of the cities they currently operate in– and research where they want to place their next set of stores.

What platforms is PredictHQ integrated with?

AWS Data Exchange, Snowflake Data Marketplace, and Databricks Marketplace